Software Alternatives & Startups

MIDAS VS Plotly

Compare MIDAS VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

MIDAS logo MIDAS

MIDAS is a web based Room Booking & Resource Scheduling Software system. Available to download & run on your server or as an online hosted cloud application

Plotly logo Plotly

Low-Code Data Apps
  • MIDAS Landing page
    Landing page //
    2024-03-24

MIDAS is an easy to use yet powerful room booking system giving you complete control over your room bookings and resource scheduling, and trusted by organizations and businesses of all shapes and sizes around the world.

Simply accessed through your favorite web browser, on your desktop, laptop, tablet or mobile device, the software lets you see at a glance when your room bookings are scheduled in the calendar. The system also allows you to schedule staffing and equipment, send booking confirmations, reminders and invoices to clients, take bookings or booking requests through your public website, and put an end to double bookings and confusion once and for all!

As all you need is a modern web browser, your MIDAS booking system is readily available wherever you are! - Whether at the office, at home, or on the move - the information in your room booking system is right there at your fingertips!

MIDAS room booking software is available as either a cloud hosted SaaS (Software as a Service) solution, or as a self-hosted "on-premises" solution where it may be downloaded, installed, and run from your own server.

We also offer a FREE 30-day no-risk trial!

  • Plotly Landing page
    Landing page //
    2023-07-31

MIDAS features and specs

  • Analytics and Reporting
  • API
  • Billing/Invoicing
  • Bookings
  • Branding
  • Backups
  • Bulk import/export
  • Clean UI
  • Cloud-based
    Yes (a self-hosted edition is also available)
  • Calendar
  • Data Import/Export
  • Drag & Drop Interface
  • Demo
  • Email notifications
  • Email Templates
  • Email Support
  • Free Trial
  • Help Documentation
  • Integrations
  • Knowledge Base
    https://mid.as/kb
  • Live Chat Support
  • Notifications
  • Online Bookings
  • Pricing
    See https://mid.as/pricing
  • Quickbooks integration
  • Reports
  • Reporting
  • Responsive Design
  • Reports & analytics
  • Scheduling
  • Slack integration
  • Support
  • User And Group Management
  • Unlimited Users
    Option
  • User Permission Management
  • User-Friendly Interface
  • Users
    1 - Unlimited
  • White Labeling
    Option
  • Web App
  • Xero integration

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of MIDAS

Overall verdict

  • Overall, MIDAS is considered a solid choice for individuals looking to diversify their portfolio and take advantage of a well-rounded investment platform.

Why this product is good

  • MIDAS, or mid.as, is seen as a promising platform due to its user-friendly interface, a wide range of investment options, and strong customer support. The platform also has competitive fees and robust security measures, which make it appealing to both new and experienced investors.

Recommended for

    MIDAS is recommended for beginners seeking a straightforward entry into investing, as well as seasoned investors who appreciate a comprehensive platform with various financial instruments and tools to enhance their investment strategies.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

MIDAS videos

Introduction to MIDAS

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to MIDAS and Plotly)
Resource Scheduling
100 100%
0% 0
Data Visualization
0 0%
100% 100
Employee Scheduling
100 100%
0% 0
Charting Libraries
0 0%
100% 100

Questions & Answers

As answered by people managing MIDAS and Plotly.

What makes your product unique?

MIDAS's answer

MIDAS is the only mature, purpose-built room and resource scheduling system offering the customer's choice of cloud or self-hosted deployment, with fixed transparent pricing and a 20-year track record. Our median active customer retention is over 9 years!

Why should a person choose your product over its competitors?

MIDAS's answer

Booking systems come and go, and migrating between them is painful. MIDAS has been continuously developed and supported by its original developer since 2006 - celebrating 20 years in 2026 - and our median customer has been with us for over 9 years. Choose software you won't need to replace.

MIDAS pricing is published openly in five currencies and based on just two things: how many venues and how many users you need. No per-booking fees, no usage tiers, no quote requests - the price you see is the price you pay, and renewals are charged at the same standard published rates.

What's the story behind your product?

MIDAS's answer

MIDAS was originally developed for a large performing arts college in the UK back in 2005. Realizing its potential to help other organizations manage their room and resources bookings, it was first commercially released in early 2006. In the twenty years since, MIDAS remains in active development, with several feature-rich updates released every year and trusted by a worldwide customer base. You can read more about our backstory here

Which are the primary technologies used for building your product?

MIDAS's answer

MIDAS is written in Perl - a language commonly found on almost all web servers, and which can be readily installed on those without. The backend database supports both MySQL and MariaDB, and the front end is a mix of HTML, CSS and Javascript

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MIDAS and Plotly

MIDAS Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly should be more popular than MIDAS. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MIDAS mentions (6)

  • Strawberry Perl vs ActivePerl
    "Perl" is the coding language we develop our MIDAS web based room booking and resource scheduling software in. - Source: dev.to / over 3 years ago
  • Revisiting ActivePerl
    As "berrybrew" is specific to Strawberry perl, and we still technically support (but don't recommend ActivePerl), we tend to spin up VMs when we need to test our MIDAS software different versions of Strawberry/ActivePerl. Source: about 5 years ago
  • Revisiting ActivePerl
    So for any self-hosted customer wishing to use install our MIDAS scheduling software on their Windows server, we suggest you avoid ActivePerl and use Strawberry Perl instead. Source: about 5 years ago
  • Migrating to MariaDB
    As of 4th July 2021, all our cloud-hosted customer’s MIDAS databases have been migrated across from MySQL to MariaDB. Source: about 5 years ago
  • We're greener than most!
    As can be seen from the information produced by the website carbon calculator, there are some significant differences between some of these businesses. In some cases, viewing the home page of one of these other websites produces more than 60 times the amount of CO2 than visiting MIDAS! Source: over 5 years ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing MIDAS and Plotly, you can also consider the following products

Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

ResourceGuru - Resource management software that helps teams schedule with clarity, plan with flexibility, and deliver projects with confidence.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.